Services
From behavior to the boardroom.
Four practices, one ascent: what users do, what the numbers say, where the market is moving — and what to decide about it.
01
Behavioral & User Analytics
Know what users actually do.
Product decisions fail when they rest on what users say or what teams hope. This practice instruments what actually happens — who converts, who churns, which features earn their place — and turns it into product calls you can defend.
- PMF validation
- A/B testing & feature analysis
- User journeys & funnel analysis
- Behavioral & cohort analytics
- Product & data QA
e.g., a churn-driver analysis with prioritized fixes, or a funnel teardown with a clickable Figma prototype of the strongest fix.
02
Data & Business Intelligence
Numbers the company can run on.
Most reporting answers questions nobody asked. This practice builds the layer leadership actually uses: KPIs that map to decisions, reporting that runs itself, and models that flag what changed before it becomes expensive.
- BI dashboards & KPI frameworks
- Automated reporting systems
- Predictive analytics & anomaly detection
- Data modeling & data quality
- Data storytelling & visualization
e.g., an executive KPI framework with an automated weekly readout, or an anomaly-detection layer on revenue-critical funnels.
03
Market & Consumer Intelligence
See the market before it moves you.
Internal data tells you what is happening; it rarely tells you why, or what is coming. This practice looks outward — competitors, categories, consumers — and brings the outside view to the same standard of evidence as the inside one.
- Competitive intelligence & benchmarking
- Market research & opportunity assessment
- Shopper & consumer insights, Voice of Customer
- GTM & expansion research
e.g., a competitive teardown ahead of a category entry, or a Voice-of-Customer study that explains a soft quarter.
Methods include OSINT, SOCMINT, and social network analysis — applied where the question calls for them, never as an end in themselves.
04
Product Strategy & Advisory
A seat at the table, backed by evidence.
The flagship practice, and where the other three converge. Analysis is only useful when it survives contact with a boardroom — this is the work of turning evidence into the narrative, the recommendation, and the decision.
- Product & analytics advisory for executives, boards, investors
- Board & investor keynotes
- Product reports & executive briefings
- Strategic analysis & decision support
- Stakeholder narratives & data storytelling
e.g., an investor keynote on retention economics, or a product report that settles a roadmap argument.
Work delivered in SQL, Python, BI tooling, and whatever your stack already runs on.